The COVID-19 Situation Report is a data intensive report that tries to portray an accurate data oriented picture of the 2019- 2020 COVID-19 pandemic. If you would like to add additional metrics to this report, please send a mail to the author at .

Date of Report

Numbers as on EOD 

## [1] "2020-07-15"

COVID-19 Overall Stats (Worldwide)

Overall Confirmed Cases Count Worldwide 

## [1] "13554477 (up from 13324057 yesterday: 1.73 % increase)"

Overall Deaths Worldwide

Please note that the deaths is at the minimum an underestimate as there could be fatalities resulting from the current active cases.

## [1] "584124 (up from 578646 yesterday: 0.95 % increase)"

Overall Confirmed Cases Count Worldwide in the past 21 Days 

## [1] 4123961

Overall Fatality Rate Worldwide in %

Please note that the fatality rate is at the minimum an underestimate as there could be fatalities resulting from the current active cases.

## [1] 4.31



In- Depth Country Wise Stats (With Atleast 10000 COVID-19 Confirmations)

Overall Confirmed Cases and Deaths- Country Wise (With Fatality Rates)

Country_Region TotalConfirmed NewConfirmations CasesPercentIncrease TotalConfirmedinPast21Days TotalDeaths NewDeaths DeathsPercentIncrease FatalityRate
US 3497847 66273 1.93 1116354 137407 941 0.69 3.93
Brazil 1966748 39924 2.07 778117 75366 1233 1.66 3.83
India 968857 32676 3.49 495752 24914 605 2.49 2.57
Russia 745197 6410 0.87 139154 11753 156 1.35 1.58
Peru 337751 3884 1.16 73062 12417 188 1.54 3.68
Chile 321205 1712 0.54 66789 7186 117 1.66 2.24
Mexico 317635 6149 1.97 120788 36906 579 1.59 11.62
South Africa 311049 12757 4.28 199253 4453 107 2.46 1.43
United Kingdom 293469 538 0.18 -14868 45138 85 0.19 15.38
Iran 264561 2388 0.91 52060 13410 199 1.51 5.07
Pakistan 257914 2145 0.84 64944 5426 40 0.74 2.10
Spain 257494 875 0.34 10408 28413 4 0.01 11.03
Italy 243506 162 0.07 4096 34997 13 0.04 14.37
Saudi Arabia 240474 2671 1.12 73207 2325 42 1.84 0.97
Turkey 215940 947 0.44 24283 5419 17 0.31 2.51
France 210568 928 0.44 12683 30123 91 0.30 14.31
Germany 200890 434 0.22 8019 9080 2 0.02 4.52
Bangladesh 193590 3533 1.86 70930 2457 33 1.36 1.27
Colombia 159898 5621 3.64 86138 5969 182 3.14 3.73
Argentina 111146 4236 3.96 61295 2050 82 4.17 1.84
Canada 110693 343 0.31 6606 8857 12 0.14 8.00
Qatar 104983 450 0.43 14205 151 1 0.67 0.14
China 85246 20 0.02 573 4644 2 0.04 5.45
Egypt 84843 913 1.09 25282 4067 59 1.47 4.79
Iraq 83867 2110 2.58 47165 3432 87 2.60 4.09
Indonesia 80094 1522 1.94 31085 3797 87 2.35 4.74
Sweden 76492 491 0.65 14168 5572 27 0.49 7.28
Ecuador 70329 759 1.09 18686 5158 28 0.55 7.33
Belarus 65443 174 0.27 5498 480 6 1.27 0.73
Kazakhstan 65188 1674 2.64 45903 375 0 0.00 0.58
Belgium 62872 91 0.14 1974 9788 1 0.01 15.57
Oman 61247 1679 2.82 27711 281 8 2.93 0.46
Philippines 58850 1305 2.27 26555 1614 11 0.69 2.74
Kuwait 56877 703 1.25 14998 399 3 0.76 0.70
Ukraine 56779 848 1.52 16927 1444 15 1.05 2.54
United Arab Emirates 55848 275 0.49 9715 335 0 0.00 0.60
Bolivia 52218 1351 2.66 24731 1942 44 2.32 3.72
Netherlands 51471 109 0.21 1459 6155 1 0.02 11.96
Panama 49243 1147 2.38 21213 982 22 2.29 1.99
Dominican Republic 47671 1366 2.95 19040 929 19 2.09 1.95
Portugal 47426 375 0.80 7322 1676 8 0.48 3.53
Singapore 46878 248 0.53 4255 27 0 0.00 0.06
Israel 44188 1828 4.32 22144 376 5 1.35 0.85
Poland 38721 264 0.69 5900 1594 6 0.38 4.12
Afghanistan 34994 254 0.73 5354 1094 46 4.39 3.13
Bahrain 34560 482 1.41 10990 117 6 5.41 0.34
Nigeria 34259 643 1.91 12239 760 6 0.80 2.22
Romania 34226 641 1.91 9400 1952 21 1.09 5.70
Switzerland 33148 132 0.40 1772 1968 0 0.00 5.94
Armenia 33005 515 1.59 11288 592 11 1.89 1.79
Guatemala 32074 1202 3.89 17255 1350 48 3.69 4.21
Honduras 30036 930 3.20 15465 825 18 2.23 2.75
Ireland 25683 13 0.05 287 1748 2 0.11 6.81
Azerbaijan 25672 559 2.23 11367 326 7 2.19 1.27
Ghana 25430 442 1.77 10417 139 0 0.00 0.55
Japan 23172 735 3.28 5209 984 0 0.00 4.25
Algeria 20770 554 2.74 8522 1040 12 1.17 5.01
Moldova 20040 332 1.68 4962 659 4 0.61 3.29
Serbia 19334 351 1.85 6099 429 11 2.63 2.22
Austria 19154 133 0.70 1705 710 1 0.14 3.71
Nepal 17177 116 0.68 6449 39 1 2.63 0.23
Morocco 16262 165 1.03 5355 259 2 0.78 1.59
Cameroon 15173 0 0.00 2581 359 0 0.00 2.37
Uzbekistan 14581 496 3.52 7591 71 4 5.97 0.49
Korea, South 13612 61 0.45 1049 291 2 0.69 2.14
Czechia 13475 134 1.00 2698 355 0 0.00 2.63
Cote d’Ivoire 13403 366 2.81 5239 87 0 0.00 0.65
Denmark 13293 31 0.23 478 610 0 0.00 4.59
Kyrgyzstan 12282 838 7.32 8328 165 16 10.74 1.34
Kenya 11252 461 4.27 6046 209 7 3.47 1.86
Australia 10810 323 3.08 3252 113 2 1.80 1.05
El Salvador 10645 342 3.32 5495 286 8 2.88 2.69
Sudan 10527 110 1.06 1638 668 9 1.37 6.35
Venezuela 10428 418 4.18 6062 100 4 4.17 0.96

In Depth USA Stats (State Wise Figures)

Confirmed Cases and Deaths- States of USA (With Fatality Rates)

State Confirmed NewConfirmations CasesPercentIncrease TotalConfirmedinPast21Days Deaths NewDeaths DeathsPercentIncrease FatalityRate ConfirmedCasesPerMillPopl DeathsPerMillPopl InfectionOdds
New York 404006 831 0.21 14340 32427 19 0.06 8.03 20767.71 1666.89 1 in 48
California 354885 8674 2.51 158960 7375 125 1.72 2.08 8981.65 186.65 1 in 111
Florida 301810 10181 3.49 192796 4521 112 2.54 1.50 14052.23 210.50 1 in 71
Texas 289837 10260 3.67 161705 3498 136 4.05 1.21 9995.80 120.64 1 in 100
New Jersey 176278 363 0.21 6386 15634 52 0.33 8.87 19846.23 1760.15 1 in 50
Illinois 157825 1187 0.76 19285 7427 8 0.11 4.71 12454.80 586.10 1 in 80
Arizona 131354 3257 2.54 71164 2434 97 4.15 1.85 17249.62 319.64 1 in 58
Georgia 127838 3875 3.13 58457 3091 37 1.21 2.42 12040.40 291.13 1 in 83
Massachusetts 112347 217 0.19 4736 8368 28 0.34 7.45 16166.19 1204.11 1 in 62
Pennsylvania 102269 1003 0.99 14584 6957 26 0.38 6.80 7988.52 543.43 1 in 125
North Carolina 91837 1837 2.04 35310 1589 18 1.15 1.73 8756.32 151.51 1 in 114
Louisiana 84131 2089 2.55 31654 3461 16 0.46 4.11 18097.38 744.49 1 in 55
Michigan 78913 1049 1.35 10358 6330 4 0.06 8.02 7901.69 633.83 1 in 127
Maryland 75016 756 1.02 9679 3341 7 0.21 4.45 12408.20 552.63 1 in 81
Virginia 73527 1084 1.50 14013 1992 15 0.76 2.71 8614.24 233.38 1 in 116
Ohio 69311 1316 1.94 22552 3075 6 0.20 4.44 5929.54 263.07 1 in 169
Tennessee 69061 2273 3.40 31826 783 16 2.09 1.13 10106.72 114.59 1 in 99
South Carolina 62245 1856 3.07 34348 998 5 0.50 1.60 12089.43 193.83 1 in 83
Alabama 59067 1812 3.16 27003 1211 47 4.04 2.05 12046.66 246.98 1 in 83
Indiana 53370 685 1.30 10230 2785 10 0.36 5.22 7927.55 413.68 1 in 126
Connecticut 47636 106 0.22 1723 4380 8 0.18 9.19 13361.06 1228.51 1 in 75
Minnesota 43742 572 1.32 9979 1558 10 0.65 3.56 7756.18 276.26 1 in 129
Washington 43046 742 1.75 13177 1421 17 1.21 3.30 5652.87 186.61 1 in 177
Wisconsin 38727 821 2.17 12964 827 1 0.12 2.14 6651.34 142.04 1 in 150
Mississippi 38567 1025 2.73 15143 1290 18 1.42 3.34 12958.69 433.45 1 in 77
Colorado 38137 469 1.25 6998 1744 6 0.35 4.57 6622.46 302.84 1 in 151
Iowa 36536 670 1.87 9935 777 20 2.64 2.13 11580.09 246.27 1 in 86
Utah 30891 413 1.36 12107 233 7 3.10 0.75 9635.50 72.68 1 in 104
Nevada 30468 849 2.87 16940 618 6 0.98 2.03 9891.71 200.64 1 in 101
Arkansas 30297 485 1.63 12922 335 4 1.21 1.11 10039.35 111.01 1 in 100
Missouri 30057 817 2.79 10934 1119 5 0.45 3.72 4897.33 182.32 1 in 204
Oklahoma 22814 1074 4.94 11304 432 4 0.93 1.89 5765.52 109.17 1 in 173
Nebraska 21979 262 1.21 3758 291 5 1.75 1.32 11362.13 150.43 1 in 88
Kentucky 20677 454 2.24 6314 645 10 1.57 3.12 4628.14 144.37 1 in 216
Kansas 20349 462 2.32 7419 304 5 1.67 1.49 6984.83 104.35 1 in 143
Rhode Island 17640 52 0.30 1034 987 2 0.20 5.60 16651.55 931.69 1 in 60
New Mexico 15841 327 2.11 4851 557 6 1.09 3.52 7554.74 265.64 1 in 132
Oregon 13081 276 2.16 5637 247 3 1.23 1.89 3101.43 58.56 1 in 322
Delaware 13050 81 0.62 2161 521 3 0.58 3.99 13401.60 535.04 1 in 75
Idaho 12449 729 6.22 8047 110 7 6.80 0.88 6946.73 61.38 1 in 144
District of Columbia 11026 80 0.73 898 571 3 0.53 5.18 15623.12 809.07 1 in 64
Puerto Rico 10379 256 2.53 3559 171 2 1.18 1.65 3249.84 53.54 1 in 308
South Dakota 7652 80 1.06 1233 111 2 1.83 1.45 8649.66 125.47 1 in 116
New Hampshire 6113 22 0.36 515 394 2 0.51 6.45 4495.81 289.77 1 in 222
North Dakota 4565 72 1.60 1203 88 0 0.00 1.93 5990.33 115.48 1 in 167
West Virginia 4557 150 3.40 1926 98 1 1.03 2.15 2549.87 54.84 1 in 392
Maine 3578 12 0.34 561 114 0 0.00 3.19 2661.78 84.81 1 in 376
Montana 2096 144 7.38 1330 34 0 0.00 1.62 1961.12 31.81 1 in 510
Wyoming 1985 35 1.79 703 22 0 0.00 1.11 3429.75 38.01 1 in 292
Alaska 1631 52 3.29 842 17 0 0.00 1.04 2229.53 23.24 1 in 449
Vermont 1318 13 1.00 134 56 0 0.00 4.25 2112.22 89.75 1 in 473
Hawaii 1292 28 2.22 457 22 0 0.00 1.70 912.51 15.54 1 in 1096

US Tested- Confirmed Funnel (All States)

State Level Figures

State Tested Confirmed ConfirmationRate TestedinPast21Days ConfirmedinPast21Days ConfirmationRateForPast21Days TestsPerMillPopl
1 New York 4848525 404006 8.33 1296573 14340 1.11 249235.86
2 California 5793276 354885 6.13 2200377 158960 7.22 146619.84
3 Florida 2735953 301810 11.03 1067611 192796 18.06 127385.53
4 Texas 2642199 289837 10.97 1011941 161705 15.98 91123.25
5 New Jersey 1742347 176278 10.12 442702 6386 1.44 196161.87
6 Illinois 2080733 157825 7.59 650892 19285 2.96 164201.58
7 Arizona 735962 131354 17.85 286774 71164 24.82 96647.71
8 Georgia 1154983 127838 11.07 411749 58457 14.20 108781.86
9 Massachusetts 988713 112347 11.36 193641 4736 2.45 142271.04
10 Pennsylvania 968649 102269 10.56 277241 14584 5.26 75663.95
11 North Carolina 1284637 91837 7.15 493352 35310 7.16 122485.38
12 Louisiana 1001200 84131 8.40 352695 31654 8.97 215367.68
13 Michigan 1367919 78913 5.77 423114 10358 2.45 136971.92
14 Maryland 680088 75016 11.03 189631 9679 5.10 112491.56
15 Virginia 844982 73527 8.70 268411 14013 5.22 98995.97
16 Ohio 1062623 69311 6.52 381936 22552 5.90 90907.17
17 Tennessee 1097673 69061 6.29 379369 31826 8.39 160638.82
18 South Carolina 525983 62245 11.83 207775 34348 16.53 102158.13
19 Alabama 541049 59067 10.92 182290 27003 14.81 110346.44
20 Indiana 586589 53370 9.10 154706 10230 6.61 87131.60
21 Connecticut 604099 47636 7.89 201749 1723 0.85 169439.09
22 Minnesota 790497 43742 5.53 260854 9979 3.83 140168.19
23 Washington 718234 43046 5.99 231175 13177 5.70 94319.64
24 Wisconsin 728496 38727 5.32 214930 12964 6.03 125118.81
25 Mississippi 356857 38567 10.81 95196 15143 15.91 119905.62
26 Colorado 409990 38137 9.30 119156 6998 5.87 71194.44
27 Iowa 387312 36536 9.43 117353 9935 8.47 122758.61
28 Utah 432080 30891 7.15 127342 12107 9.51 134774.07
29 Nevada 364425 30468 8.36 112038 16940 15.12 118313.81
30 Arkansas 395776 30297 7.66 123910 12922 10.43 131146.11
31 Missouri 517947 30057 5.80 190923 10934 5.73 84391.54
32 Oklahoma 447325 22814 5.10 149047 11304 7.58 113047.33
33 Nebraska 219743 21979 10.00 58442 3758 6.43 113597.03
34 Kentucky 459187 20677 4.50 123485 6314 5.11 102779.90
35 Kansas 239374 20349 8.50 77669 7419 9.55 82165.53
36 Rhode Island 175875 17640 10.03 -49118 1034 -2.11 166019.89
37 New Mexico 430006 15841 3.68 127923 4851 3.79 205074.42
38 Oregon 305456 13081 4.28 91448 5637 6.16 72421.77
39 Delaware 143388 13050 9.10 45187 2161 4.78 147251.28
40 Idaho 133914 12449 9.30 56079 8047 14.35 74726.08
41 District of Columbia 137944 11026 7.99 53771 898 1.67 195457.59
43 South Dakota 93543 7652 8.18 18466 1233 6.68 105739.05
44 New Hampshire 137109 6113 4.46 27056 515 1.90 100836.87
45 North Dakota 126564 4565 3.61 27875 1203 4.32 166080.98
46 West Virginia 217904 4557 2.09 60856 1926 3.16 121928.41
47 Maine 127931 3578 2.80 42741 561 1.31 95171.74
48 Montana 123758 2096 1.69 48692 1330 2.73 115793.93
49 Wyoming 42914 1985 4.63 12766 703 5.51 74148.31
50 Alaska 156093 1631 1.04 59997 842 1.40 213374.43
51 Vermont 78358 1318 1.68 18498 134 0.72 125575.93
52 Hawaii 97557 1292 1.32 27018 457 1.69 68902.41

In Depth India Stats (State Wise Figures)

Confirmed Cases and Deaths (States of India)

State Confirmed NewConfirmations CasesPercentIncrease Recovered RecoveryRate Active Deaths NewDeaths DeathsPercentIncrease FatalityRate
Maharashtra 284281 8641 3.13 158140 55.63 114648 11194 266 2.43 3.94
Tamil Nadu 156369 4549 3.00 107416 68.69 46717 2236 69 3.18 1.43
Delhi 118645 1652 1.41 97693 82.34 17407 3545 58 1.66 2.99
Karnataka 51422 4169 8.82 19730 38.37 30651 1037 104 11.15 2.02
Gujarat 45567 919 2.06 32174 70.61 11303 2090 10 0.48 4.59
Uttar Pradesh 43441 2058 4.97 26675 61.41 15720 1046 34 3.36 2.41
Telangana 41018 1676 4.26 27295 66.54 13327 396 10 2.59 0.97
Andhra Pradesh 38044 2593 7.31 19393 50.98 18159 492 40 8.85 1.29
West Bengal 36117 1690 4.91 21415 59.29 13679 1023 23 2.30 2.83
Rajasthan 27174 737 2.79 19970 73.49 6666 538 8 1.51 1.98
Haryana 24002 696 2.99 18185 75.76 5495 322 3 0.94 1.34
Bihar 21558 1385 6.87 14101 65.41 7290 167 10 6.37 0.77
Assam 20647 892 4.52 13555 65.65 7034 55 2 3.77 0.27
Madhya Pradesh 20378 735 3.74 14127 69.32 5562 689 7 1.03 3.38
Odisha 15392 494 3.32 10877 70.67 4412 103 2 1.98 0.67
Jammu and Kashmir 12156 490 4.20 6446 53.03 5488 222 16 7.77 1.83
Kerala 10276 722 7.56 4862 47.31 5372 38 2 5.56 0.37
Punjab 9094 295 3.35 6277 69.02 2587 230 9 4.07 2.53
Jharkhand 4783 221 4.84 2513 52.54 2228 42 4 10.53 0.88
Chhattisgarh 4754 198 4.35 3451 72.59 1282 21 1 5.00 0.44
Uttarakhand 3982 197 5.20 2995 75.21 904 50 0 0.00 1.26
Goa 3108 157 5.32 1817 58.46 1272 19 1 5.56 0.61
Tripura 2379 98 4.30 1637 68.81 725 3 0 0.00 0.13
Manipur 1764 64 3.76 1129 64.00 635 0 0 NaN 0.00
Puducherry 1743 147 9.21 947 54.33 774 22 1 4.76 1.26
Himachal Pradesh 1377 36 2.68 971 70.52 383 10 0 0.00 0.73
State Unassigned 1285 -239 -15.68 0 0.00 1285 0 0 NaN 0.00
Ladakh 1147 5 0.44 970 84.57 176 1 0 0.00 0.09
Nagaland 916 14 1.55 391 42.69 525 0 0 NaN 0.00
Chandigarh 635 16 2.58 476 74.96 148 11 0 0.00 1.73
Dadra and Nagar Haveli and Daman and Diu 576 18 3.23 392 68.06 175 2 0 0.00 0.35
Arunachal Pradesh 543 52 10.59 153 28.18 387 3 0 0.00 0.55
Meghalaya 377 40 11.87 49 13.00 326 2 0 0.00 0.53
Mizoram 272 34 14.29 160 58.82 112 0 0 NaN 0.00
Sikkim 235 13 5.86 87 37.02 135 0 0 NaN 0.00
Andaman and Nicobar Islands 180 4 2.27 133 73.89 47 0 0 NaN 0.00
Lakshadweep 0 0 NaN 0 NaN 0 0 0 NaN NaN

In Depth Italy Stats (Region Wise Figures)

Confirmed Cases and Deaths- Regions of Italy (With Fatality and Confirmation Rates)

Region Swabs Confirmations NewConfirmations CasesPercentIncrease ConfirmationRate HospitalizedWithSymptoms IntensiveCare ActiveCases Deceased FatalityRate
Lombardia 1165476 95236 63 0.07 8.17 177 23 7535 16765 17.60
Piemonte 456932 31515 8 0.03 6.90 163 8 887 4118 13.07
Emilia-Romagna 558766 28989 18 0.06 5.19 88 9 1170 4271 14.73
Veneto 1083811 19441 21 0.11 1.79 30 2 438 2043 10.51
Toscana 379196 10338 8 0.08 2.73 9 3 313 1127 10.90
Liguria 166213 10042 4 0.04 6.04 24 0 196 1561 15.54
Lazio 375364 8376 20 0.24 2.23 190 10 898 847 10.11
Marche 151628 6805 0 0.00 4.49 3 1 157 987 14.50
P.A. Trento 135996 4881 0 0.00 3.59 1 0 24 405 8.30
Campania 306363 4787 8 0.17 1.56 51 1 259 432 9.02
Puglia 207413 4541 0 0.00 2.19 10 0 68 547 12.05
Friuli Venezia Giulia 217376 3339 1 0.03 1.54 5 0 93 345 10.33
Abruzzo 116253 3331 3 0.09 2.87 17 0 124 467 14.02
Sicilia 240742 3115 0 0.00 1.29 4 0 137 283 9.09
P.A. Bolzano 93003 2677 3 0.11 2.88 6 0 97 292 10.91
Umbria 108430 1452 2 0.14 1.34 5 0 10 80 5.51
Sardegna 95175 1376 2 0.15 1.45 4 0 12 134 9.74
Calabria 106955 1218 2 0.16 1.14 5 0 59 97 7.96
Valle d’Aosta 19824 1196 0 0.00 6.03 1 0 2 146 12.21
Molise 25037 446 0 0.00 1.78 1 0 9 23 5.16
Basilicata 43107 405 0 0.00 0.94 3 0 5 27 6.67

In Depth Canada Stats (With Province Level Figures)

Confirmed Cases and Deaths- Provinces of Canada (With Fatality Rates)

Province Confirmed NewConfirmations CasesPercentIncrease Deaths NewDeaths DeathsPercentIncrease FatalityRate ConfirmedCasesPerMillPopl DeathsPerMillPopl InfectionOdds
Quebec 56859 129 0.23 5636 3 0.05 9.91 6659.78 660.13 1 in 150
Ontario 38918 104 0.27 2778 9 0.33 7.14 2645.35 188.83 1 in 378
Alberta 8994 82 0.92 163 0 0.00 1.81 2038.00 36.94 1 in 491
British Columbia 3149 21 0.67 189 0 0.00 6.00 616.13 36.98 1 in 1623
Nova Scotia 1067 1 0.09 63 0 0.00 5.90 1091.61 64.45 1 in 916
Saskatchewan 881 5 0.57 15 0 0.00 1.70 745.56 12.69 1 in 1341
Manitoba 330 0 0.00 7 0 0.00 2.12 239.56 5.08 1 in 4174
Newfoundland and Labrador 262 0 0.00 3 0 0.00 1.15 502.53 5.75 1 in 1990
New Brunswick 168 1 0.60 2 0 0.00 1.19 215.39 2.56 1 in 4643
Prince Edward Island 36 0 0.00 0 0 NaN 0.00 227.62 0.00 1 in 4393
Yukon 11 0 0.00 0 0 NaN 0.00 267.78 0.00 1 in 3734
Northwest Territories 5 0 0.00 0 0 NaN 0.00 111.35 0.00 1 in 8981

In Depth China Stats (With Province Level Figures)

Confirmed Cases and Deaths- Provinces of China (With Fatality Rates)

Province Confirmed Deaths FatalityRate
Hubei 68135 4512 6.62
Guangdong 1650 8 0.48
Hong Kong 1588 10 0.63
Henan 1276 22 1.72
Zhejiang 1270 1 0.08
Hunan 1019 4 0.39
Anhui 991 6 0.61
Heilongjiang 947 13 1.37
Jiangxi 932 1 0.11
Beijing 929 9 0.97
Shandong 793 7 0.88
Shanghai 732 7 0.96
Jiangsu 654 0 0.00
Sichuan 599 3 0.50
Chongqing 583 6 1.03
Fujian 363 1 0.28
Hebei 349 6 1.72
Shaanxi 321 3 0.93
Guangxi 254 2 0.79
Inner Mongolia 249 1 0.40
Tianjin 203 3 1.48
Shanxi 201 0 0.00
Yunnan 188 2 1.06
Hainan 171 6 3.51
Gansu 167 2 1.20
Liaoning 164 2 1.22
Jilin 155 2 1.29
Guizhou 147 2 1.36
Xinjiang 76 3 3.95
Ningxia 75 0 0.00
Macau 46 0 0.00
Qinghai 18 0 0.00
Tibet 1 0 0.00

Time Series Curves (Top 20 Countries with the Highest Cases)

The time series curves (both linear and logarithmic) are printed for the top 20 countries with the most confirmed COVID-19 cases as of today in decreasing order of confirmations.

Confirmed Cases Count (Linear)

Country Wise Time Series Curve

Confirmed Cases Count (Logarithmic)

Country Wise Time Series Curve

Time Series Curves (Top 20 Countries with the Highest Deaths)

The time series curves (both linear and logarithmic) are printed for the top 20 countries with the most COVID-19 deaths as of today in decreasing order of confirmations.

Death Count (Linear)

Country Wise Time Series Curve

Death Count (Logarithmic)

Country Wise Time Series Curve

Epidemic Curve: Delta in the past 24 hrs (Top 20 Countries with the Highest Cases)

The COVID-19 epidemic curve, also known as an COVID-19 epi curve or COVID-19 epidemiological curve, is a statistical chart to visualise the onset and progression of the COVID-19 outbreak in various countries. The term flattening of the epidermic curve is referred to as the drastic reduction of new cases which can be seen in the dip in the number of new cases in the past 24 hrs. The below charts show if this has happened for the worst affected 20 countries in the world as of today. The fitted line in the below bars show the last 7 day average of new cases/ new deaths.

Delta in Confirmed Cases

Number of New Cases in the past 24 hrs

Delta in Deaths

Number of Deaths in the past 24 hrs

Measuring Outbreak Velocity: 5 Day Lagging Average Doubling Time (Top 20 Countries with the Highest Cases)

The velocity of an outbreak is determined by a construct known as doubling time. This value describes the number of days, on average, required for the number of cases to double in a given area. For our analysis we use average doubling time, which can be defined as the number of days, on average, required for the average number of COVID-19 cases to double in a given area.

This measure can describe COVID-19 behavior worldwide, in a country, or even in a smaller region such as a state. For our analysis, we will discuss average doubling time at a national level for the top 20 most affected countries.

Below, we have calculated average doubling time for several nations, on a trailing, rolling 5-day basisbased on today’s case values. A decline in average doubling time indicates that the COVID-19 outbreak (confirmation rate) is accelerating (average cases double in fewer days), while an increase of average doubling time indicates that the outbreak is slowing.

Ideally, when social distancing and lockdowns are implemented aggressively in a country and after some period of delay, doubling times should begin to increase in a matter of days, weeks, or months, depending upon the severity of the epidemic and the degree of social distancing achievable.

Given the fact that many countries across the world have already enacted or implemented social distancing measures, this is why one should be cautious not to extrapolate COVID-19 growth rates from trailing statistics.

5 Day Lagging Avg Doubling Time of Confirmations

Confirmed Cases and Deaths Per Million Population and Infection Odds

This metric confirmed cases per million population and deaths per million population shows the extent to which the disease has spread with respect to the population of the country. The metric Infection Odds shows 1 in how many people are infected with COVID-19 in the corresponding country.

For the top 20 countries with most confirmed cases excluding cruise ships

Country_Region ConfirmedCasesPerMillionPopl DeathsPerMillionPopl InfectionOdds
US 10690.24 419.95 1 in 94
Brazil 9396.79 360.09 1 in 106
India 723.57 18.61 1 in 1382
Russia 5157.07 81.34 1 in 194
Peru 10498.94 385.98 1 in 95
Chile 17795.29 398.12 1 in 56
Mexico 2458.48 285.65 1 in 407
South Africa 5483.94 78.51 1 in 182
United Kingdom 4417.05 679.38 1 in 226
Iran 3259.75 165.23 1 in 307
Pakistan 1309.21 27.54 1 in 764
Spain 5518.52 608.94 1 in 181
Italy 4026.22 578.65 1 in 248
Saudi Arabia 7300.36 70.58 1 in 137
Turkey 2672.19 67.06 1 in 374
France 3143.28 449.66 1 in 318
Germany 2426.50 109.68 1 in 412
Bangladesh NA NA 1 in NA
Colombia 3258.57 121.64 1 in 307
Argentina 2510.64 46.31 1 in 398

US Detailed State and County Level Curves

This section of the report might be of interest to people who want an an accurate data oriented picture of the 2019- 2020 COVID-19 pandemic at the state/ county level in USA.

Epidemic Curve: Delta in Confirmed Cases in US States

The COVID-19 epidemic curve, also known as an COVID-19 epi curve or COVID-19 epidemiological curve, is a statistical chart to visualise the onset and progression of the COVID-19 outbreak in various US states. The term flattening of the epidermic curve is referred to as the drastic reduction of new cases which can be seen in the dip in the number of new cases in the past 24 hrs. The below charts show if this has happened for the worst affected 30 states in USA as of today. The fitted line in the below bars show the last 7 day average of new cases/ new deaths.

Number of New Cases in the past 24 hrs

Epidermic Curve: Delta in Deaths in US States

Number of Deaths in the past 24 hrs

Top 100 US Counties with the Highest Cases and Deaths

All NYC boroughs are mentioned together as New York County

County State Confirmations Deaths FatalityRate
New York New York 219982 23353 10.62
Los Angeles California 143207 3943 2.75
Cook Illinois 96662 4745 4.91
Maricopa Arizona 86483 1277 1.48
Miami-Dade Florida 72317 1202 1.66
Harris Texas 50362 491 0.97
Nassau New York 42462 2191 5.16
Suffolk New York 42267 1993 4.72
Dallas Texas 36969 485 1.31
Westchester New York 35394 1436 4.06
Broward Florida 34153 464 1.36
Philadelphia Pennsylvania 27867 1653 5.93
Riverside California 27371 577 2.11
Orange California 27031 455 1.68
Clark Nevada 25611 502 1.96
Middlesex Massachusetts 24652 1928 7.82
Wayne Michigan 24525 2762 11.26
Palm Beach Florida 22788 634 2.78
San Bernardino California 21468 310 1.44
San Diego California 21446 448 2.09
Bexar Texas 21067 201 0.95
Hillsborough Florida 21018 192 0.91
Suffolk Massachusetts 20411 1024 5.02
Prince George’s Maryland 20099 717 3.57
Bergen New Jersey 19927 2029 10.18
Orange Florida 19909 94 0.47
Hudson New Jersey 19219 1494 7.77
Essex New Jersey 19100 2085 10.92
Tarrant Texas 19014 272 1.43
Passaic New Jersey 17127 1227 7.16
Middlesex New Jersey 17119 1395 8.15
Fairfield Connecticut 16993 1387 8.16
Essex Massachusetts 16564 1136 6.86
Union New Jersey 16563 1340 8.09
Travis Texas 15998 179 1.12
Montgomery Maryland 15986 763 4.77
Mecklenburg North Carolina 15950 164 1.03
Salt Lake Utah 15306 132 0.86
Shelby Tennessee 14891 233 1.56
Milwaukee Wisconsin 14679 403 2.75
Fairfax Virginia 14653 502 3.43
Davidson Tennessee 14550 157 1.08
Duval Florida 14152 89 0.63
Hennepin Minnesota 13948 793 5.69
Rockland New York 13743 670 4.88
Providence Rhode Island 13674 0 0.00
Oakland Michigan 13022 1110 8.52
Franklin Ohio 12823 449 3.50
Worcester Massachusetts 12724 967 7.60
New Haven Connecticut 12643 1088 8.61
Pima Arizona 12406 347 2.80
King Washington 12325 630 5.11
Marion Indiana 12276 699 5.69
Gwinnett Georgia 12217 189 1.55
Pinellas Florida 12080 278 2.30
Hartford Connecticut 11980 1398 11.67
Fulton Georgia 11746 331 2.82
Jefferson Louisiana 11614 495 4.26
District of Columbia District of Columbia 11026 571 5.18
Orange New York 10878 484 4.45
Lee Florida 10849 206 1.90
Lake Illinois 10561 429 4.06
Puerto Rico 10379 171 1.65
El Paso Texas 10298 159 1.54
Ocean New Jersey 9890 1000 10.11
DuPage Illinois 9867 492 4.99
Cuyahoga Ohio 9784 402 4.11
Out of GA Georgia 9687 61 0.63
Monmouth New Jersey 9605 845 8.80
Norfolk Massachusetts 9560 962 10.06
Baltimore Maryland 9153 502 5.48
DeKalb Georgia 8980 186 2.07
Montgomery Pennsylvania 8972 832 9.27
Orleans Louisiana 8946 543 6.07
Fresno California 8941 91 1.02
Yuma Arizona 8851 159 1.80
Baltimore City Maryland 8835 370 4.19
Plymouth Massachusetts 8832 686 7.77
Hidalgo Texas 8593 183 2.13
Bristol Massachusetts 8558 603 7.05
Alameda California 8478 154 1.82
Charleston South Carolina 8466 69 0.82
Yakima Washington 8436 187 2.22
Douglas Nebraska 8357 102 1.22
St. Louis Missouri 8300 605 7.29
Kane Illinois 8218 286 3.48
Polk Florida 8206 155 1.89
Imperial California 8145 148 1.82
Denver Colorado 8098 397 4.90
Macomb Michigan 8037 929 11.56
Wake North Carolina 8030 77 0.96
Prince William Virginia 7947 160 2.01
Erie New York 7891 646 8.19
Mercer New Jersey 7815 604 7.73
Polk Iowa 7803 188 2.41
Camden New Jersey 7775 556 7.15
Delaware Pennsylvania 7651 669 8.74
Greenville South Carolina 7633 107 1.40
East Baton Rouge Louisiana 7606 279 3.67
Cobb Georgia 7571 256 3.38

Overall US Choropleth Map

Choropleths are an ideal way to visualize the past/ current COVID-19 hotspots within a country. The below were the overall (not current) hotspots in the US.

County level COVID-19 Confirmations Map

Canada Detailed Province Level Curves

This section of the report might be of interest to people who want an an accurate data oriented picture of the 2019- 2020 COVID-19 pandemic at the province level in Canada.

The COVID-19 epidemic curve, also known as an COVID-19 epi curve or COVID-19 epidemiological curve, is a statistical chart to visualise the onset and progression of the COVID-19 outbreak in the most affected Canadian provinces- Quebec, Ontario, Alberta and British Columbia. The term flattening of the epidermic curve is referred to as the drastic reduction of new cases which can be seen in the dip in the number of new cases in the past 24 hrs. The fitted line in the below bars show the last 7 day average of new cases/ new deaths.

Epidemic Curve: Delta in Confirmed Cases in Canadian Provinces

Number of New Cases in the past 24 hrs

Epidermic Curve: Delta in Deaths in Canadian Provinces

Number of Deaths in the past 24 hrs

Data Sources

Github Repo: CSSEGISandData, The NY Times, amodm/api-covid19-in and pcm-dpc